The Key For Hadoop Adoption: Learning How To Make Big Data Small

As the poster child for Big Data, Hadoop has been both a blessing and curse for enterprise big data adoption. Powerful but complex, many enterprises have preferred to wait for something easier to come along before rolling out a big data project.

The wait is over. Hadoop has been progressing at such a torrid pace, with significant ease-of-use enhancements from vendors like Hortonworks and Cloudera, that Hadoop’s learning curve has been cut in half. As I’ve written before, enterprises are increasingly shedding their big data training wheels, moving from basic ETL workloads to the advanced data analytics Hadoop was meant to tackle.

The trick to big data for enterprises using Hadoop, it turns out, is to start small.